AI Medical Compendium Topic:
Computer Simulation

Clear Filters Showing 1021 to 1030 of 3818 articles

Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning.

IEEE transactions on neural networks and learning systems
In this paper, an adaptive admittance control scheme is developed for robots to interact with time-varying environments. Admittance control is adopted to achieve a compliant physical robot-environment interaction, and the uncertain environment with t...

Monitoring Technology of Abnormal Displacement of BeiDou Power Line Based on Artificial Neural Network.

Computational intelligence and neuroscience
In the practice of power line engineering, navigation and positioning technology is often used in the fields of information collection and analysis, optimized line design, and deformation monitoring. Compared with traditional measurement technology, ...

Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control.

Computational intelligence and neuroscience
By the method of documentation and logical analysis, based on the data, based on logic and based on the knowledge of three kinds of artificial intelligence in the sports education, the intelligent learning system feedback delay are studied, combined ...

An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
BACKGROUND: View classification is a key step toward building a fully automated system for interpretation of echocardiograms. However, compared with adult echocardiograms, creating a view classification model for pediatric echocardiograms poses addit...

Optimization of Tennis Teaching Resources and Data Visualization Based on Support Vector Machine.

Computational intelligence and neuroscience
In recent years, with the continuous development of machine learning technology, this technology has achieved success in many fields and activities. Therefore, using machine learning technology for fuzzy research has a good research prospect. In the ...

A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning.

Sensors (Basel, Switzerland)
Cooperative network is a promising concept for achieving a high-accuracy decision of spectrum sensing in cognitive radio networks. It enables a collaborative exchange of the sensing measurements among the network users to monitor the primary spectrum...

Insulator Leakage Current Prediction Using Hybrid of Particle Swarm Optimization and Gene Algorithm-Based Neural Network and Surface Spark Discharge Data.

Computational intelligence and neuroscience
This study proposes a new superior hybrid algorithm, which is the particle swarm optimization (PSO) and gene algorithm (GA)-based neural network to predict the leakage current of insulators. The developed algorithm was utilized for the online monitor...

Robotic simulation: validation and qualitative assessment of a general surgery resident training curriculum.

Surgical endoscopy
BACKGROUND: The da Vinci skills simulation curriculum has been validated in the literature. The updated simulator, SimNow, features restructured exercises that have not been formally validated. The purpose of this study is to validate the SimNow resi...

Comparison of Deep Learning and Deterministic Algorithms for Control Modeling.

Sensors (Basel, Switzerland)
Controlling nonlinear dynamics arises in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN) compared to benchmark methods, including idealized nonlinear feedforw...

A Novel Forecasting Approach by the GA-SVR-GRNN Hybrid Deep Learning Algorithm for Oil Future Prices.

Computational intelligence and neuroscience
It is hard to forecasting oil future prices accurately, which is affected by some nonlinear, nonstationary, and other chaotic characteristics. Then, a novel GA-SVR-GRNN hybrid deep learning algorithm is put forward for forecasting oil future price. F...